-
https://chengaf.github.io/afcheng.github.io/2019/10/09/Graph-Convolutional-Network-%E5%8E%9F%E7%90%86%E8%A7%A3%E9%87%8A/
写在前面 思路：为什么提出 GCN  —> 如何从传统意义的 CNN 到 GCN（谱角度解释）—>GCN 的代表性工作(方法的…
-
Title: - Semi-supervised User Geolocation via Graph Convolutional Networks
Year: - 2018
Venue: - arXiv
**Main Problem**
The authors addresses the problem of inaccurate prediction of user geo-loc…
-
Hello author, the model structure and training parameters in the code are inconsistent with those in the paper. The student model deteriorates as it is trained, and it cannot achieve the effect descri…
-
Please add explicit support for graph-structured data including
- quantum graph kernels
- quantum graph neural networks, particularly quantum graph convolutional networks
-
What do you think of adding Graph Convolutional Networks in a new section on ML and deep learning?
Here are some references:
* https://tkipf.github.io/graph-convolutional-networks/
* https://gi…
-
hi
I am looking for tensorflow implementation of the Relational Graph Convolutional Network (RGCN), is this RGCN code for paper ?
thanks so much.
-
### Title
Hypergraph Convolutional Recurrent Neural Network
### URL
(https://tmpfiles.org/dl/3316673/yirnn.pdf)
### Summary
The paper by Jaehyuk Yi and Jinkyoo Park introduces a hypergraph co…
-
1. Non Euclidean Space data 중, Graph Handling 에 대한 전반적인 소개
2. 리뷰할 논문
- [Geometric Deep Learning: Going Beyond Euclidean Data](https://arxiv.org/pdf/1611.08097.pdf)
- [Revisiting Semi-Supervised L…
-
## 🚀 Feature
Multi-dimensional Graph Convolutional Networks
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
## Motivation
In many of the re…
-
Hello,
As we talked before about adding Spatio-Temporal GNN models to PyG. I suggest papers that I mentioned below for start. Please take a look at them.
1-[Structured Sequence Modeling with Gr…